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Tyler Bishop

dblp:382/4274 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Legged, aerial and field robots · 56% Motion planning and robot control · 44%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › locomotion control
central pattern generator control
0.812024
Design and Central Pattern Generator Control of a New Transformable Wheel-Legged Robot · ICRA 2024
Robotics › Legged, aerial and field robots › legged robots
legged robot locomotion
0.812024
Design and Central Pattern Generator Control of a New Transformable Wheel-Legged Robot · ICRA 2024
Robotics › Legged, aerial and field robots
wheel-legged robot
0.812024
Design and Central Pattern Generator Control of a New Transformable Wheel-Legged Robot · ICRA 2024
Robotics › Motion planning and robot control › mobile robot control
differential-drive steering
0.212024
Design and Central Pattern Generator Control of a New Transformable Wheel-Legged Robot · ICRA 2024
Robotics › Motion planning and robot control
robot control
0.212024
Design and Central Pattern Generator Control of a New Transformable Wheel-Legged Robot · ICRA 2024

Methods — techniques the papers use, named apart from their topics

kinematic analysis · 0.8central pattern generator · 0.8
YearPublicationVenuePosition
2024 Design and Central Pattern Generator Control of a New Transformable Wheel-Legged Robot
abstract
This paper introduces a new wheel-legged robot and develops motion controllers based on central pattern generators (CPGs) for the robot to navigate over a range of terrains. A transformable leg-wheel design is considered and characterized in terms of key locomotion characteristics as a function of the design. Kinematic analysis is conducted based on a generalized four-bar mechanism driven by a coaxial hub arrangement. The analysis is used to inform the design of a central pattern generator to control the robot by mapping oscillator states to wheel-leg trajectories and implementing differential steering within the oscillator network. Three oscillator models are used as the basis of the CPGs, and their performance is compared over a range of inputs. The CPG-based controller is used to drive the developed robot prototype on level ground and over obstacles. Additional simulated tests are performed for uneven terrain negotiation and obstacle climbing. Results demonstrate the effectiveness of CPG control in transformable wheel-legged robots.
Tyler Bishop, Keran Ye, Konstantinos Karydis
ICRA1